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Director Engineering Ai Jobs (NOW HIRING)

Stanford Health Care

Director Engineering - AI/ML

Alto, TX

$112.39 - $148.91/hr

... AI platform designed to transform healthcare delivery, accelerate medical research, and improve patient outcomes. We are seeking a hands-on, visionary Director of Engineering to lead the technical ...

Talanto

$250/hr

You will guide and evolve a team that has already transitioned to fully AI-authored engineering ... Direct experience coding using AI agents and leadership experience guiding teams to use AI agents ...

New

Talanto

Director, Engineering, AI SecOps

Santa Clara, CA · On-site

$250/hr

You will guide and evolve a team that has already transitioned to fully AI-authored engineering ... Direct experience coding using AI agents and leadership experience guiding teams to use AI agents ...

New

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How much do director engineering ai jobs pay per year?

As of Sep 9, 2026, the average yearly pay for director engineering ai in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Director Engineering Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.

Director, Engineering, Agentic AI

Santa Clara, CA • On-site

Netskope
Network Security • 1 - 5K employees
Learn more about Netskopeexternal

Full-time

Posted 3 days ago

New

Job description

About the role

Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.

Netskope's AI SecOps team utilizes the latest in AI innovations to build agentic solutions that empower security operations professionals to effectively see, analyze, and take control of what's happening within their companies. With billions of daily signals in play, these agentic solutions quickly pinpoint potential risks in the sea of normal business behaviors.

What's in it for you

In this role, you will be the engineering leader for a fast-growing product suite that is deeply rooted in AI. You will lead a robust technical team that is AI-native and running at high velocity. You will guide and evolve a team that has already transitioned to fully AI-authored engineering lifecycles. You will have rich customer interactions, giving you the opportunity to work closely with our product team to define priorities and roadmap strategy.

What you will be doing

  • Architect the Future: Guide senior architects and mentor junior engineers to make strong architecture and design decisions that utilize the latest AI breakthroughs.
  • Set the Strategy: Collaborate with our product team to promote engineering innovation and out-of-the-box thinking, utilizing both to make strategic decisions on prioritizing feature delivery and timelines.
  • Cultivate Talent: Provide hands-on coaching and continuous development of our engineers to maximize their potential, understand them as people, and help them grow in their careers.
  • Advocate for Customers: Participate in discussions with customers to help shape the decisions you make from both an engineering and product perspective.
  • Relentlessly Learn: Master the rapidly evolving AI landscape and distill complex research into actionable strategies that enable our team to pivot, adopt new paradigms, and maintain a competitive edge.

What we want you to bring to the table

  • Extensive work experience: 15+ years of software engineering experience, 8+ years leading engineering teams, 4+ years in cybersecurity
  • Inspirational leadership capable of maintaining high energy and high velocity within the team
  • Deep understanding of AI and agentic technologies
  • Passionate about building products that provide rich experiences for users
  • Track record of interacting with customers and understanding their workflows and use cases
  • Direct experience coding using AI agents and leadership experience guiding teams to use AI agents for R&D
  • Hands-on experience developing software in the cloud with AWS, GCP, and Azure
  • Experience collaborating with globally distributed teams, reaching consensus, and driving execution as a team player
  • Strong verbal and written communication skills
  • Ability to thrive in a fast-paced and rapidly evolving environment
  • BSCS or equivalent is required, with an MS in CS or engineering equivalent strongly preferred

Apply